Correlation Between United Fire and Senmiao Technology
Can any of the company-specific risk be diversified away by investing in both United Fire and Senmiao Technology at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining United Fire and Senmiao Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between United Fire Group and Senmiao Technology, you can compare the effects of market volatilities on United Fire and Senmiao Technology and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in United Fire with a short position of Senmiao Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of United Fire and Senmiao Technology.
Diversification Opportunities for United Fire and Senmiao Technology
0.12 | Correlation Coefficient |
Average diversification
The 3 months correlation between United and Senmiao is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding United Fire Group and Senmiao Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Senmiao Technology and United Fire is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on United Fire Group are associated (or correlated) with Senmiao Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Senmiao Technology has no effect on the direction of United Fire i.e., United Fire and Senmiao Technology go up and down completely randomly.
Pair Corralation between United Fire and Senmiao Technology
Given the investment horizon of 90 days United Fire Group is expected to generate 0.44 times more return on investment than Senmiao Technology. However, United Fire Group is 2.25 times less risky than Senmiao Technology. It trades about 0.05 of its potential returns per unit of risk. Senmiao Technology is currently generating about -0.02 per unit of risk. If you would invest 2,821 in United Fire Group on December 28, 2024 and sell it today you would earn a total of 145.00 from holding United Fire Group or generate 5.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
United Fire Group vs. Senmiao Technology
Performance |
Timeline |
United Fire Group |
Senmiao Technology |
United Fire and Senmiao Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with United Fire and Senmiao Technology
The main advantage of trading using opposite United Fire and Senmiao Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if United Fire position performs unexpectedly, Senmiao Technology can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Senmiao Technology will offset losses from the drop in Senmiao Technology's long position.United Fire vs. Donegal Group B | United Fire vs. Horace Mann Educators | United Fire vs. Donegal Group A | United Fire vs. Global Indemnity PLC |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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